Objectivity in stratification, sampling and classification of vegetation
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University of Pretoria
Abstract
The aims of this study are to increase objectivity in stratification, sampling and classification of vegetation, thereby, improving repeatability, predictability and relevancy of vegetation classifications. The aims are achieved by: relating stratification, sampling and classification to scale; improved small-scale vegetation mapping using, satellite imagery; improved plant cover estimations; and vegetation classification by minimum entropy. A comprehensive computer program package was developed to facilitate the aims of this study and reduce time spent on vegetation analyses. It is recommended that the vegetation resource be given the highest national priority because correct vegetation management can also ensure conservation of soil and soil water.
Description
Thesis (PHD)--University of Pretoria, 2009.
Keywords
Sampling mapping remote, Vegetation classifications, UCTD
Sustainable Development Goals
Citation
Westfall, HR 1992, Objectivity in stratification, sampling and classification of vegetation, PhD thesis, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/27709 >